ABOUT ME

I'm a Data Scientist at Evidation Health, a company whose mission is to measure health in everyday life. I analyze continuous streams of activity data (like steps taken throughout the day, heart rate, or sleep quality) to monitor and predict the progression of chronic diseases.

Before joining Evidation, I earned a PhD in Dynamical Neuroscience from the University of California, Santa Barbara. My research focused on how people form beliefs in real-world situations where evidence is conflicting, dynamic, and often ambiguous (such as when jurors decide whether or not a defendant is guilty or when citizens vote on a ballot measure). I used fMRI to identify which brain regions contribute to different aspects of real-world reasoning, and I used HD-tDCS to temporarily alter participants' brain activity and observe how their reasoning changed.